{"id":"W2106193331","doi":"10.1021/jm000079i","title":"Novel Radiotracers for Imaging the Serotonin Transporter by Positron Emission Tomography:  Synthesis, Radiosynthesis, and in Vitro and ex Vivo Evaluation of <sup>11</sup>C-Labeled 2-(Phenylthio)araalkylamines","year":2000,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":250,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Serotonin transporter; Chemistry; Ex vivo; Biodistribution; Positron emission tomography; In vivo; Radiosynthesis; Serotonin; Serotonin Plasma Membrane Transport Proteins; Radioligand; Spect imaging; Preclinical imaging; Transporter; Binding potential; In vitro; Biochemistry; Nuclear medicine; Receptor; Biology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007755731,0.0008528652,0.0005834072,0.0003062732,0.0001882781,0.0003714088,0.0007000777,0.0006933886,0.001157333],"category_scores_gemma":[0.0004676676,0.0003496205,0.0003190825,0.0003163938,0.0003470677,0.0004579472,0.0002169762,0.0005706719,0.0005238271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004584788,"about_ca_system_score_gemma":0.0004129227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007993147,"about_ca_topic_score_gemma":0.0014777,"domain_scores_codex":[0.9998271,0.00007457499,0.00001157726,0.00002266389,0.00002907767,0.00003503579],"domain_scores_gemma":[0.999752,0.00008573705,0.00005407682,0.0000196988,0.00004257597,0.0000459226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004080283,0.00006956208,0.0001503381,0.000165138,0.00002427338,0.0001513726,0.00003812197,0.0005439096,0.9913524,0.0002560356,0.00008113118,0.006759713],"study_design_scores_gemma":[0.0001660287,0.003705658,0.001149226,0.00002015085,0.00009222051,0.001132575,0.00002948053,0.001337708,0.9849824,0.00005292804,0.00729867,0.00003284725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959004,0.03571507,0.06200204,0.0003704062,0.0001329281,0.000930475,0.0006322563,0.0003778754,0.003938438],"genre_scores_gemma":[0.8427265,0.02016951,0.1271877,0.0003069194,0.0001081079,0.001052447,0.001741369,0.0001249446,0.006582532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157333,"threshold_uncertainty_score":0.004101694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688585796278877,"score_gpt":0.2713882109813364,"score_spread":0.2545023530185476,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}